Data for - Optimized Grid Voxelization for Obstacle Avoidance in Collaborative Robotics

This data are supplementary material for article - Optimized Grid Voxelization for Obstacle Avoidance in Collaborative Robotics - 3D_models contains all models relevant for the experiment (mechanical construction of the stand and models of the test objects). Measured_data contains binary files with pointclouds from the 3D camera, for various test scenarios (different object shape, different distance from camera, different voxel size, always 10 repetitions). Scripts contains the Phython code used to process and evaluate the data. Excel files in the folder are the processed results.本数据集为论文《面向协作机器人避障的优化网格体素化（Optimized Grid Voxelization）》的补充材料。其中3D_models文件夹包含实验所需的全部相关模型，具体包括支架机械结构模型与测试对象模型；Measured_data文件夹存储来自3D相机的点云（pointcloud）二进制文件，涵盖多种测试场景：不同物体形状、不同相机距离、不同体素（voxel）尺寸，且每组场景均重复10次；Scripts文件夹包含用于处理与评估本数据集的Python代码；该数据集根文件夹内的Excel文件均为经处理后的实验结果。